A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)
In previous work, we have proposed a constructive methodology for temporal data learning supported by results and prescriptions related to the Takens-Mañé theorem and using the Singular Spectrum Analysis in order to reduce the effects of the possible discontinuity of the signal. In this paper we present some new results concerning the application of this approach to the forecasting of the individual rainfall intensities series collected by 135 stations distributed in the Tiber basin.doi:10.1109/ijcnn.2001.939028 fatcat:egdk53qxo5aexppvhh7vryyfdy